from sklearn.datasets import load_iris
from sklearn.datasets import load_wine
import pandas as pd

# data = load_iris()
# print(data)
#
# print(data["data"].shape)
# print(data["target"])
# print(data.target)
# print(data.feature_names)
# print(data.target_names)
# print(data.DESCR)

# wine = load_wine()
# print(wine)

iris = pd.read_csv("iris.csv",index_col=0)
print(iris)
target = iris["outocme"]
print(target)
feature_names= iris.iloc[:,:-1]
print(feature_names)

